What happens when technology advancements threaten to automate people’s jobs? That question is on the minds of many as research and development in artificial intelligence and machine learning rapidly advances. Recently ASU received a million dollar NSF Convergence Accelerator Grant to create
Manufacturers today face a highly competitive environment with rising costs of materials and resources. The nominal price of steel, for example, has increased by 167% since the turn of the century while energy costs have climbed more than 2.5 times their prices in
Machine Learning Requires a Systematic Approach to Systems, Architecture, and data. Developing Machine Learning analytics yields immediate and long-term benefits. 1. Make Machine Learning Part of a Modernization Strategy After decades in research labs, machine learning is now getting enormous attention for real-world
The development of autonomous vehicles has been the strongest driver of auto tech investment in the past couple of years. According to the infographic about the future of cars from carsurance.net, more than $9 billion was funneled into the R&D
On August 4, 1997, Skynet came online to control the weapons arsenal of the United States with a mandate of “safeguarding the world.” Skynet started to learn at a geometric rate and became self-aware at 2:14am on August 29, 1997.
Artificial intelligence (AI) is making tremendous impact already in the world. Some of that impact is indirect and comes from the anticipation of things that may sound like science fiction now, which has led to massive investments in ideas and